LLM Reference

Qwen3.6 Max Preview

Released
2026-04-20
Last refreshed
2026-06-29
Status
Researched 120d ago
Open sourceCommercial use: permittedMultimodalCodingRAGAgentsLong contextVisionClassificationJSON / Tool use

Qwen3.6 Max Preview is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding, rag, and agents
  • Workloads that can use a 256k context window
  • Buyers comparing 3 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Family
Qwen3.6
Released
2026-04-20
Context
256k
Architecture
Mixture of Experts
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Unknown
Code
Unknown
Training
Pretrained
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$6.24
Input / 1M
$1.04

Cheapest of 3 routes · Alibaba Cloud PAI-EAS

About

Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse MoE architecture, available for preview as part of the Qwen3.6 series.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ D

2 relevant benchmarks in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Q/$ C

1 relevant benchmark in the decision map.

Provider price ladder

Compare all 3

Compare API pricing across 3 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
Alibaba Cloud PAI-EAS$1.04$6.24-
Serverless
OpenRouter$1.04$6.24-
Serverless
Vercel AI Gateway$1.30$7.80read $0.260
Serverless

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured Outputs

Benchmark peer barsfor Coding

Benchmark scores(6)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
Google-Proof Q&A86.0diamondObserved 2026-05-12Source
Massive Multi-discipline Multimodal Understanding82.0MMMUObserved 2026-05-12Source
Humanity's Last Exam28.8HLE Thinking Level Max (no tools), from DataLearner (accuracy)Observed 2026-06-07Source
LiveCodeBench87.1Ranked 10th of 120 on LiveCodeBench from DataLearner (pass@1)Observed 2026-06-07Source
MMLU PRO88.5MMLU-Pro (accuracy)Observed 2026-06-07Source
SWE-bench Verified78.8SWE-bench Verified (resolved)Observed 2026-06-07Source

Migration checks

No linked migration route is available for this model yet.

Compare Qwen3.6 Max Preview with other models

Show all 12 popular comparisonssorted by 7-day search impressions